Theme Issue (2023): AI and ChatGPT in Dermatology

Efficacy of ChatGPT in Educating Patients and Clinicians About Skin Toxicities Associated With Cancer Treatment

Annie Chang, Jade Young, Andrew Para, Angela Lamb, Nicholas Gulati

JMIR Dermatol 2024 (Nov 20); 7:e54919

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AI in Psoriatic Disease: Scoping Review

Richard Barlow, Anthony Bewley, Maria Angeliki Gkini

JMIR Dermatol 2024 (Oct 16); 7:e50451

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Readability of Information Generated by ChatGPT for Hidradenitis Suppurativa

Lauren Gawey, Caitlyn B Dagenet, Khiem A Tran, Sarah Park, Jennifer L Hsiao, Vivian Shi

JMIR Dermatol 2024 (Aug 14); 7:e55204

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Claude 3 Opus and ChatGPT With GPT-4 in Dermoscopic Image Analysis for Melanoma Diagnosis: Comparative Performance Analysis

Xu Liu, Chaoli Duan, Min-kyu Kim, Lu Zhang, Eunjin Jee, Beenu Maharjan, Yuwei Huang, Dan Du, Xian Jiang

JMIR Med Inform 2024 (Aug 06); 12:e59273

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NVIDIA’s “Chat with RTX” Custom Large Language Model and Personalized AI Chatbot Augments the Value of Electronic Dermatology Reference Material

Maged N Kamel Boulos, Robert Dellavalle

JMIR Dermatol 2024 (Jul 24); 7:e58396

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Efficacy of an Artificial Intelligence App (Aysa) in Dermatological Diagnosis: Cross-Sectional Analysis

Shiva Shankar Marri, Warood Albadri, Mohammed Salman Hyder, Ajit B Janagond, Arun C Inamadar

JMIR Dermatol 2024 (Jul 02); 7:e48811

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Assessing the Application of Large Language Models in Generating Dermatologic Patient Education Materials According to Reading Level: Qualitative Study

Raphaella Lambert, Zi-Yi Choo, Kelsey Gradwohl, Liesl Schroedl, Arlene Ruiz De Luzuriaga

JMIR Dermatol 2024 (May 16); 7:e55898

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Assessing the Utility of Multimodal Large Language Models (GPT-4 Vision and Large Language and Vision Assistant) in Identifying Melanoma Across Different Skin Tones

Katrina Cirone, Mohamed Akrout, Latif Abid, Amanda Oakley

JMIR Dermatol 2024 (Mar 13); 7:e55508

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Readability and Health Literacy Scores for ChatGPT-Generated Dermatology Public Education Materials: Cross-Sectional Analysis of Sunscreen and Melanoma Questions

Katie Roster, Rebecca B Kann, Banu Farabi, Christian Gronbeck, Nicholas Brownstone, Shari R Lipner

JMIR Dermatol 2024 (Mar 06); 7:e50163

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Potential Use of ChatGPT in Responding to Patient Questions and Creating Patient Resources

Kelly Reynolds, Trilokraj Tejasvi

JMIR Dermatol 2024 (Mar 06); 7:e48451

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The Accuracy and Appropriateness of ChatGPT Responses on Nonmelanoma Skin Cancer Information Using Zero-Shot Chain of Thought Prompting

Ross O'Hagan, Dina Poplausky, Jade N Young, Nicholas Gulati, Melissa Levoska, Benjamin Ungar, Jonathan Ungar

JMIR Dermatol 2023 (Dec 14); 6:e49889

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Evaluation of ChatGPT Dermatology Responses to Common Patient Queries

Alana L Ferreira, Brian Chu, Jane M Grant-Kels, Temitayo Ogunleye, Jules B Lipoff

JMIR Dermatol 2023 (Nov 17); 6:e49280

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Assessing the Accuracy and Comprehensiveness of ChatGPT in Offering Clinical Guidance for Atopic Dermatitis and Acne Vulgaris

Nehal Lakdawala, Leelakrishna Channa, Christian Gronbeck, Nikita Lakdawala, Gillian Weston, Brett Sloan, Hao Feng

JMIR Dermatol 2023 (Nov 14); 6:e50409

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